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Preprint for "Consolidation of Sequential Planning" with @evanrussek and @NeilBurgess10. We demonstrate the neural representations supporting sequential planning and the effect of memory consolidation upon them: biorxiv.org/cgi/content/shor…. As talk, see also: youtube.com/watch?v=0QcNtzhq…
Oliver Vikbladh retweeted
Really impressive identification of this functional circuit!
Even better it just needs continuous attractor dynamics & firing rate adaptation (or similar) to work, which also makes some new predictions (model with @zilong_ji, Tianhao Chu, Si Wu)
sciencedirect.com/science/ar…...
Oliver Vikbladh retweeted
Cognitive models of behavior are a key part of neuroscience. But discovering them is hard!
In new work from @GoogleDeepMind Neuroscience and collaborators @HHMIJanelia, we demonstrate an approach that uses LLMs and large datasets to discover models automatically.
Oliver Vikbladh retweeted
I’m excited to share our new, open-access paper published today in @NatMentHealth, “Latent mechanisms of language disorganization relate to specific dimensions of psychopathology”. nature.com/articles/s44220-0…
Oliver Vikbladh retweeted
New preprint with @DaniSBassett and @nathanieldaw!
How do humans learn predictive representations? We propose a trial-by-trial learning rule that incorporates trace updating to learn the SR.
biorxiv.org/content/10.1101/…
Oliver Vikbladh retweeted
👀🍟Now out in Cognitive Science 😋🤖
We present a new approach that combines cognitive models and neural networks to predict latent preferences.
onlinelibrary.wiley.com/doi/…
ALT Inverting Cognitive Models With Neural Networks to Infer Preferences From Fixations Evan M. Russek, Frederick Callaway, Thomas L. Griffiths Neural networks can be pretrained on simulated data from cognitive models to infer people’s preferences from their behavior. This approach enables the prediction of preferences from eye fixations made before a choice, even with limited human data.
Using this method we can not only decode the contents of rollouts through the transition structure, but also, across trials within participants, decode the speed of sequential simulation. Faster reaction times are related to faster rollouts - i.e. thinking fast means acting fast.
Hi everyone! If you are in London this week, do come by and check out our audio-visual installation about Replay. Working on this with @olivierhenaff at @FlorenceTrust made lockdowns bearable, and I'm very excited to share the results of that process.
eventbrite.com/e/memory-repl…
"Computer simulations indicate the UK is in the early stages of its epidemic which is expected to rise sharply in four weeks and peak in 10 and 14 weeks' time."
bbc.co.uk/news/science-envir…
Oliver Vikbladh retweeted
Super thrilled to share our years of work on human replay with the world, now out in Cell @CellCellPress, cell.com/cell/fulltext/S0092… with my amazing supervisors: @behrenstimb @zebkDotCom and Ray Dolan. @WCHN_UCL @MPC_CompPsych @OxfordWIN @DeepMindAI (1/16)
Oliver Vikbladh retweeted
super thrilled, honored and frankly excited to say that our paper on hippocampal replay of non spatial task states has been published in @sciencemagazine today!!
tldr:hippocampal replay cares about task states+might help OFC learn them.
fun teamwork with the amazing @yael_niv
Decoding sequential replay with fMRI. Big congrats @nico_schuck who demonstrates the importance of sequential reactivation in the human hippocampus for nonspatial decision-making and establishes the feasibility of investigating such rapid signals with fMRI science.sciencemag.org/conte…
Oliver Vikbladh retweeted
Preprint: Value-based framework for understanding cooperation. Starting from neuroeconomic models of decisions and proposing directions for research focusing on memory, attention and social interaction!
psyarxiv.com/bkn3j
w. @TessaShussmy @diegoareinero @jayvanbavel
"Hippocampus Is What Happens while You’re Busy Making Other Plans". But if you're not too busy making other plans you should check out Iigaya & O’Doherty's fantastic Preview of our recent paper exploring the role of the hippocampus in planning. @nathanieldaw @NeuroCellPress
Testing patients with hippocampal damage, @vikbladh et al. demonstrate that planning & place memory both rely on the hippocampus cell.com/neuron/fulltext/S08… Preview by Iigaya & O’Doherty cell.com/neuron/fulltext/S08…
Oliver Vikbladh retweeted
Excited to share our new paper in @PNASNews exploring how information about duration is incorporated into human hippocampal (and CA1) long-term sequence representations:
pnas.org/content/early/2019/…
Our paper about the hippocampal contributions to model-based planning and spatial memory in humans, is now out. What a journey! Particularly grateful for our incredible collaborators and the participants who made this study possible. @NeuroCellPress cell.com/neuron/fulltext/S08…